Ramy Solanki
Generative AI Engineer
No profile blueprint available for this candidate.
Job Compatibility Score
Generative AI Engineer
85%Total Score: 85/100
Key Insights:
This candidate is a strong match for the Generative AI Engineer role. Ramy demonstrates direct, hands-on experience with the core requirements of the position, particularly in building and deploying RAG systems and LLM applications using LangChain. His recent role at Duke Energy is highly relevant, showcasing production-level work on a "Maintenance Copilot" and AI workflow automation. The evidence from his resume is specific and results-oriented (e.g., "reducing hallucinations by 40%").
Strengths are clear in Primary Skills and Tools, where he matches or exceeds expectations. His domain expertise in energy/operations is a plus if the role is in a similar industrial or enterprise context. The main points of consideration are the job title alignment—his most recent title is a direct match, but his earlier "AI Full Stack Engineer" title suggests a broader scope—and the experience level; with 5+ years claimed, he is in the sweet spot, neither underqualified nor overqualified. The lack of explicitly listed, role-specific certifications (like AWS/Azure AI Engineer) is a minor gap but not a deal-breaker given the depth of practical evidence.
Candidate Evaluation Table
| Category | Details from Job Description | Claimed Experience | Relevant Experience | Evidence from Resume | Score |
|---|---|---|---|---|---|
| Job Titles | Generative AI Engineer | "AI Engineer" (May 2024 – Present) | 1+ year | "AI Engineer" at Duke Energy (Current role). Previously "AI Full Stack Engineer" at QuEST Global. | 13 |
| Primary Role-Based Skills | Build/deploy LLM applications (chatbots, copilots) | Not explicitly claimed in years for skill. | 1+ year | Built "RAG Maintenance Copilot (Dashboard + Chatbot)" at Duke Energy. Developed "AI-Enabled Workflow Management Tool" using LLM/RAG. | 18 |
| Design prompt strategies & optimize outputs | Not explicitly claimed in years for skill. | 1+ year | "Implemented retrieval + prompt templates to reduce hallucinations and force source-grounded outputs" at Duke Energy. | 18 | |
| Fine-tune and evaluate models | Not explicitly claimed in years for skill. | Listed under skills. | "Model Evaluation & Optimization" listed in Skills. "OpenAI Model Evaluation Tool with PDF Extraction" project. | 15 | |
| Develop pipelines using LangChain/LlamaIndex | Not explicitly claimed in years for skill. | 1+ year | "Designed agentic workflows using LangChain" at Duke Energy. LangChain listed in Skills and used in "Outlook AI Assistant" project. | 20 | |
| Implement RAG systems | Not explicitly claimed in years for skill. | 1+ year | "Implemented RAG pipelines..." at Duke Energy. "Multi-Modal RAG Application" project. RAG listed as a core AI skill. | 20 | |
| Secondary Skills | Integrate AI models with backend systems/APIs | Not explicitly claimed in years for skill. | 5+ years | Integration implied in Duke Energy projects. Built REST APIs in "Stock Trading Platform" project. FastAPI/Node.js in Tech Stack. | 8 |
| Ensure data privacy, security, compliance | Not explicitly claimed. | ||||
| Monitor performance, reduce hallucinations | Not explicitly claimed in years for skill. | 1+ year | "reducing hallucinations by 40%" at Duke Energy. | 8 | |
| Collaborate with cross-functional teams | Not explicitly claimed. | ||||
| Tools & Platforms | LangChain, LlamaIndex (or similar) | Not explicitly claimed in years. | 1+ year | LangChain explicitly mentioned in Duke Energy role and projects. LlamaIndex not mentioned. | 9 |
| Certifications | Not specified in JD. | No relevant certifications listed. | 0 | ||
| Experience Level | Mid to Senior Level (Estimated 3-7 years) | "5+ years of experience" in Summary. | 5+ years validated in AI/Data roles since 2019. | Professional experience from Jan 2019 to Present in AI/Data roles. | 10 |
| Domain Expertise | Not explicitly specified. Likely enterprise/B2B. | Energy/Utilities (Duke Energy), Energy/O&G (ExxonMobil), Industrial (TMEIC), Power (Tata Power). | 5+ years in Energy/Industrial domains. | Duke Energy (2024-Present), QuEST/ExxonMobil (2019-2023), Tata Power (2016). | 10 |
| Consistency Across Summary, Experience, and Education | Consistency in AI/Engineering narrative. | Summary claims "AI Engineer with 5+ years." Experience and projects fully support this claim. Education (MS Information Systems) supports technical foundation. | All sections align towards AI Engineering, LLMs, and data systems. No contradictions. | Summary, Professional Experience, Projects, and Skills sections are coherent and reinforce the AI Engineer profile. | 10 |